CN107196345A - A kind of dispatching method and device - Google Patents
A kind of dispatching method and device Download PDFInfo
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- CN107196345A CN107196345A CN201610145114.4A CN201610145114A CN107196345A CN 107196345 A CN107196345 A CN 107196345A CN 201610145114 A CN201610145114 A CN 201610145114A CN 107196345 A CN107196345 A CN 107196345A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract
The embodiment of the invention discloses a kind of dispatching method and device, determine that the influence factor of generating website is rushed to repair in n influence according to preset algorithm, wherein, n is the natural number less than or equal to 10;Determine the normalized weight value of the influence factor of the n influence repairing generating website;The normalized parameter of the influence factor of n influence repairing generating website of each generating website in m generating website is determined respectively, wherein, m is the natural number more than 1;The repairing dispatching sequence of the m generating website is determined according to the normalized weight value and the normalized parameter.The embodiment of the present invention provides a kind of dispatching method and device, by the influence factor quantum chemical method to power generation dispatching, it is determined that the dispatching sequence of generating website, improves power generation dispatching efficiency.
Description
Technical field
The present invention relates to the dispatching technique of field of wireless transmission, more particularly to a kind of dispatching method and device.
Background technology
In the prior art, power generation dispatching is carried out using the method for direct in-situ processing, i.e., " where had a power failure with regard to which
In generate electricity ", the loop situations and site level of power failure website are not considered, due to generating sequencing problem, meeting
Produce transmission loop two ends website and fail timely generating, whole piece transmission loop is obstructed and transmits intermediate stations initiation
Not the problem of electricity does not but have business.
The content of the invention
In order to solve the above technical problems, the embodiment of the present invention provides a kind of dispatching method and device, by hair
The influence factor quantum chemical method of electricity scheduling, it is determined that the dispatching sequence of generating website, improves power generation dispatching efficiency.
The technical proposal of the invention is realized in this way:
The embodiment of the present invention provides a kind of dispatching method, and methods described includes:
According to preset algorithm determine n influence repairing generating website influence factor, wherein, n be less than etc.
In 10 natural number;
Determine the normalized weight value of the influence factor of the n influence repairing generating website;
The influence of n influence repairing generating website of each generating website in m generating website is determined respectively
The normalized parameter of factor, wherein, m is the natural number more than 1;
Determine that the robbing for m generating website trims according to the normalized weight value and the normalized parameter
Degree order.
Further, the normalized weight of the influence factor for determining the n influence repairing generating website
Value, including:
Judgment matrix is determined according to the influence factor that generating website is rushed to repair in described n influence;
The Maximum characteristic root and characteristic vector of the judgment matrix are determined, the characteristic vector of the judgment matrix is
The normalized weight value of the influence factor of the n influence repairing generating website.
Further, in the Maximum characteristic root and characteristic vector for determining the judgment matrix, the judgement
After normalized weight value of the characteristic vector of matrix for the influence factor of described n influence repairing generating website,
Also include:
Coincident indicator is determined according to the exponent number of the Maximum characteristic root of the judgment matrix and the judgment matrix,
Aver-age Random Consistency Index is determined according to the exponent number of the judgment matrix;
Determine the coincident indicator of the judgment matrix and the ratio of the Aver-age Random Consistency Index;
When the ratio is less than 0.1, determine the uniformity of the judgment matrix to receive;
When the ratio is more than or equal to 0.1, the influence factor of generating website is rushed to repair according to described n influence
Redefine judgment matrix, verification be normalized to the judgment matrix that redefines, until it is described again
The uniformity of judgment matrix is determined to receive.
Further, the n influence factor includes:Can quantization factor and can not quantization factor;
The n influence repairing generating website for determining each generating website in m generating website respectively
The normalized parameter of influence factor, including:
Respectively to each generating website in the m generating website can quantization factor and can not quantization factor enter
Row normalized, determines the normalized parameter of the influence factor of the n influence repairing generating website.
Further, it is described that the m hair is determined according to the normalized weight value and the normalized parameter
The repairing dispatching sequence of power station point, including:
On the normalized weight value and normalization ginseng of the influence factor of described n influence repairing generating website
Number is weighted summation, the repairing priority of the m generating website is determined, according to the repairing priority
Determine the repairing dispatching sequence of the m generating website.
The embodiment of the present invention provides a kind of dispatching device, and described device includes:Determining unit, processing unit,
Wherein,
The determining unit, for determining that the influence factor of generating website is rushed to repair in n influence according to preset algorithm,
Wherein, n is the natural number less than or equal to 10;It is additionally operable to determine the shadow of the n influence repairing generating website
The normalized weight value of the factor of sound;It is additionally operable to determine the n of each generating website in m generating website respectively
The normalized parameter of the influence factor of individual influence repairing generating website, wherein, m is the natural number more than 1;
The processing unit, for determining the m according to the normalized weight value and the normalized parameter
The repairing dispatching sequence of individual generating website.
Further, the determining unit, for according to described n influence rush to repair generating website influence because
Element determines judgment matrix;It is additionally operable to determine the Maximum characteristic root and characteristic vector of the judgment matrix, it is described to sentence
The characteristic vector of disconnected matrix rushes to repair the normalized weight value of the influence factor of generating website for described n influence.
Further, the determining unit, for the Maximum characteristic root according to the judgment matrix and described sentences
Disconnected order of matrix number determines coincident indicator, and mean random uniformity is determined according to the exponent number of the judgment matrix
Index;It is additionally operable to determine ratio of the coincident indicator with the Aver-age Random Consistency Index of the judgment matrix
Value;It is additionally operable to, when the ratio is less than 0.1, determine the uniformity of the judgment matrix to receive;Also use
In when the ratio is more than or equal to 0.1, the influence factor weight of generating website is rushed to repair according to described n influence
It is new to determine judgment matrix, verification is normalized to the judgment matrix that redefines, until described again true
Determine the uniformity of judgment matrix to receive.
Further, the n influence factor includes:Can quantization factor and can not quantization factor;
The determining unit, for each generating website in the m generating website can be quantified respectively because
Element and can not quantization factor be normalized, determine it is described n influence rush to repair generating website influence because
The normalized parameter of element.
Further, the processing unit, the influence factor for rushing to repair described n influence generating website
Normalized weight value and the normalized parameter be weighted summation, determine robbing for the m generating website
Priority is repaiied, the repairing dispatching sequence of the m generating website is determined according to the repairing priority.
The embodiment of the present invention provides a kind of dispatching method and device, and n influence repairing is determined according to preset algorithm
The influence factor of generating website, wherein, n is the natural number less than or equal to 10;Determine that the n influence is robbed
Trim the hair power station point influence factor normalized weight value;Determine that each in m generating website generates electricity respectively
The normalized parameter of the influence factor of n influence repairing generating website of website, wherein, m is more than 1
Natural number;Robbing for the m generating website is determined according to the normalized weight value and the normalized parameter
Repair dispatching sequence.Dispatching method and device provided in an embodiment of the present invention, are built using " analytic hierarchy process (AHP) "
Modular arithmetic, the influence factor that complicated power generation dispatching PROBLEM DECOMPOSITION is each composition, by being influenceed on each
Factor qualitative index fuzzy quantization determines the normalized weight value of each influence factor, thus by qualitative question with
Quantitative problem is combined, and quantifies to model by the normalized weight value of influence factor and the normalized parameter of website
Calculate, it is determined that the dispatching sequence of generating website, so as to improve power generation dispatching efficiency.
Brief description of the drawings
Fig. 1 is dispatching method schematic flow sheet provided in an embodiment of the present invention;
Fig. 2 is influence factor normalized weight exemplary plot provided in an embodiment of the present invention;
Fig. 3 is dispatching device structural representation provided in an embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear
Chu, it is fully described by.
Embodiment one
The embodiment of the present invention provides a kind of dispatching method, as shown in figure 1, methods described can include:
Step 101, dispatching device determine that the influence factor of generating website is rushed to repair in n influence according to preset algorithm,
Wherein, n is the natural number less than or equal to 10.
The dispatching method of the embodiment of the present invention can be used under large-area power-cuts scene, it is determined that repairing generating website
Dispatching sequence.
Specifically, the factor that can rush to repair influence generating website by " expert assessment method " carries out sieves
Choosing determines the influence factor of n influence repairing generating website.Wherein, expert assessment method, is quantitative and fixed
Property analysis on the basis of, make quantitative assessment to beat grading mode, its result has mathematical statistics characteristic.
The selection principle of influence factor can include:Priority in most influence repairing generating website priority ranking
Higher influence factor;Delete the weaker factor of influence repairing generating website, such as Sensitive Site, due to industry
It is main that generating website, the periodically objective original of low business site (such as colleges and universities, office building) are opposed with noise problem
Because that can not generate electricity or the website that need not generate electricity, in order to avoid cause the wasting of resources;Calculated and required according to analytic hierarchy process (AHP),
Less than 10 influence factors can be chosen most preferably, i.e. n is the natural number less than or equal to 10.
Wherein, analytic hierarchy process (AHP) (AHP, Analytic Hierarchy Process) is that will always have with decision-making
The element of pass resolves into the levels such as target, criterion, scheme, carries out qualitative and quantitative analysis on basis herein
Decision-making technique.
Exemplary, according to the selection principle of above-mentioned influence factor, shadow is selected using " expert assessment method "
Repairing generating website most important factor is rung, can specifically include the influence of following 7 influence repairing generating websites
Factor:
Website integrated service amount, can specifically include speech business and be drawn according to the summation of GT networks, data industry
Business is drawn according to the net summations of GTL tri-.Two throw the net network difference normalizing, to eliminate the influence that causes of conversion error.
Speech business and data service are added as integrated service amount after normalizing respectively.
Priority support base station, can specifically include VIP Party, government and army, festivals or holidays hot spot region, high speed website etc..
Battery durable ability, specific battery durable ability data are derived from the electric discharge duration of each inspection.
Important transmission node, specifically can be including the take capel in transmission loop, ring tail;And when necessary
Carry out closing carrier operation, Electrical Priority ensures transmission equipment.
Repairing hinders, and can specifically include existing, recurrent objective obstruction.Flood, thunderstorm refer to
It is flood, thunder and lightning prone areas.
Arrive at a station distance, can specifically include being drawn according to the calculation of longitude & latitude in region stationary point, website to be rushed to repair,
It can be drawn, do not repeated herein according to conventional calculation of longitude & latitude formula.
Generating is zoomed out, specifically can refer to generating electricity under the foot of the hill or bottom of the building including zooming out generating, nothing
Must be arrived at a station the base station of generating.
Step 102, dispatching device determine the normalization of the influence factor of the n influence repairing generating website
Weighted value.
Specifically, the influence factor that dispatching device rushes to repair generating website according to described n influence determines to judge square
Battle array;The Maximum characteristic root and characteristic vector of the judgment matrix are determined, the characteristic vector of the judgment matrix is
The normalized weight value of the influence factor of the n influence repairing generating website.
Specifically, rushing to repair the method that the influence factor of generating website determines judgment matrix according to described n influence
Including:The influence factor that n influence is rushed to repair into generating website is compared two-by-two, is passed through " expert assessment method "
It is determined that influence factor result of the comparison inserts matrix two-by-two, judgment matrix is determined.
By the way that the influence factor for influenceing to rush to repair generating website is contrasted two-by-two, qualitative analysis and quantitative point can be made
Analysis is organically combined, and realizes quantified decision-making.
Wherein, the influence factor contrast principle of influence repairing generating website includes:On " Delphi method " basis
On, by collecting the opinion of associated specialist, influence factor comparison algorithm is built, by multiple feedback cycle
In the case of questionnaire, using survey data as the foundation of next step development of judgment matrix, influence factor is carried out
Compare two-by-two, determine that influence factor result of the comparison inserts matrix two-by-two by " expert assessment method ", will
The opinion of expert opinion inserts matrix, determines judgment matrix.
Wherein, Delphi method is that a kind of anonymous letter of feedback askes method.Its substantially flow is:To be predicted
Problem is obtained after expertise, is arranged, concluded, counted, then anonymity feeds back to each expert, then
It is secondary to consult on, then concentrate, then feed back, until obtaining consensus.Its process can be simply expressed as follows:
Anonymity, which is solicited after expert opinion-conclusion, statistics-anonymity feedback-conclusion, some wheels of statistics ..., to be stopped.
As can be seen here, Delphi method is a kind of anonymous thoughts communication process of collective for asking form progress using letter.
It has three the characteristics of be clearly distinguishable from other scholarly forecast methods, i.e. anonymity, repeatedly feedback, group
Statistics is answered.
Exemplary, influence factor is compared two-by-two can determine judgment matrix A, as follows:
Wherein, scale aijImplication be:AiCompare AjImportance, it is as shown in table 1 below:
Scale a in the judgment matrix of table 1ijImplication
Influence factor in judgment matrix A has following properties:
Exemplary, to website integrated service amount, priority support base station, battery durable ability, important transmission
Node, repairing hinder, distance of arriving at a station and zoom out 7 influence factors of generating and compared can determine 7 two-by-two
A in × 7 judgment matrixs, 7 × 7 judgment matrixijValue is as shown in table 2 below.The value of any lattice in table 2
The method of determination includes:By the corresponding influence factor of the row influence corresponding with the row where the lattice where the lattice because
Row of the element according to where the value that " expert assessment method " compares any lattice in determination, table 2 represents the lattice is corresponding
Both important sexual intercourse that influence factor is relatively drawn with the corresponding influence factor of row where the lattice, the value
The important sexual intercourse represented is as shown in table 1.The value of the third line secondary series is 2, is represented:" priority support base station "
Compared with " website integrated service amount ", " priority support base station " is more important than " website integrated service amount ", " weight
The importance of point guarantee base station " is 2 times of " website integrated service amount ".
The influence factor that table 2 is determined according to " expert assessment method " comparative result two-by-two
Specifically, dispatching device can solve judgment matrix by existing mathematical tool, the judgement square is determined
The Maximum characteristic root and characteristic vector W of battle array.Defined according to analytic hierarchy process (AHP), the characteristic vector of the judgment matrix
The normalized weight value of as each influence factor.
In embodiments of the present invention, the judgement square can be determined by calculating the judgment matrix writing code
The Maximum characteristic root and characteristic vector of battle array, can reduce what data input during due to artificial calculating was caused with output
Cumbersome and error.
Exemplary, to website integrated service amount, priority support base station, battery durable ability, important transmission
Node, repairing hinder, distance of arriving at a station and zoom out generating 7 influence factors compared determination 7 × 7 two-by-two
Judgment matrix, calculates 7 × 7 judgment matrix normalized weight value for determining each influence factor of characteristic vector,
As shown in Figure 2.
Further, in the Maximum characteristic root and characteristic vector for determining the judgment matrix, the judgement
After normalized weight value of the characteristic vector of matrix for the influence factor of described n influence repairing generating website,
Also include:
Dispatching device is consistent according to the Maximum characteristic root of the judgment matrix and the exponent number determination of the judgment matrix
Property index, Aver-age Random Consistency Index is determined according to the exponent number of the judgment matrix;
Determine the coincident indicator of the judgment matrix and the ratio of the Aver-age Random Consistency Index;
When the ratio is less than 0.1, determine the uniformity of the judgment matrix to receive;
When the ratio is more than or equal to 0.1, the influence factor of generating website is rushed to repair according to described n influence
Redefine judgment matrix, verification be normalized to the judgment matrix that redefines, until it is described again
The uniformity of judgment matrix is determined to receive.
Specifically, in order to ensure judgment matrix result of calculation uniformity within tolerance interval, it is necessary to right
Verification is normalized in the judgment matrix, i.e., the influence factor that generating website is rushed to repair in influence is normalized
Verification.
Wherein, normalization verification principle can include:Normalization verification is the maximum feature with reference to judgment matrix
The check value that value and Aver-age Random Consistency Index generate.Normalization verification can prevent influence factor
The result that is compared to each other of importance produces larger contradiction.Normalization verification is obstructed out-of-date, it was demonstrated that influence factor weight
The property wanted relatively has larger contradiction, it is necessary to readjust comparative result, rebuilds judgment matrix and carries out computing.
Exemplary, influence factor is A, B, C, D, when the important comparative result of influence factor shows A>B,
B>C, C>D, and D>During A result, normalization verification does not pass through.It is obstructed out-of-date, it is necessary to weight when verifying
It is new to determine A, B, C, D importance.
Wherein, the method for normalizing weight verification includes:According to the Maximum characteristic root and judgment matrix of judgment matrix
Exponent number calculates coincident indicator C.I., and C.I. and Aver-age Random Consistency Index R.I. are compared, work as C.I.
When being less than 0.1 with R.I. ratio, it is considered that the uniformity of judgment matrix is acceptable.
Coincident indicator C.I.'s is calculated as follows shown in formula:
Wherein, λ in above formulamaxFor the Maximum characteristic root of judgment matrix, n is judgment matrix exponent number.
R.I. it is to take what arithmetic average was obtained after the calculating for carrying out random judgment matrix characteristic value is repeated several times, such as
Shown in table, R.I. value is chosen according to the dimension of judgment matrix.
The dimension matrix of table 3 1~15 computes repeatedly the Aver-age Random Consistency Index of 1000 times
Dimension | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
R.I. | 0 | 0 | 0.52 | 0.89 | 1.12 | 1.26 | 1.36 | 1.41 | 1.46 | 1.49 | 1.52 | 1.54 | 1.56 | 1.58 | 1.59 |
Consistency ration C.R. is calculated, shown in equation below:
C.R.=C.I./R.I.
As C.R. < 0.1, it is considered that the uniformity of judgment matrix is acceptable.
Exemplary, to website integrated service amount, priority support base station, battery durable ability, important transmission
Node, repairing hinder, distance of arriving at a station and zoom out generating 7 influence factors compared determination 7 × 7 two-by-two
Judgment matrix, verification is normalized to 7 × 7 judgment matrix, as shown in table 4 below:
Table 4 normalizes checking parameter information
Step 103, dispatching device determine n influence of each generating website in m generating website respectively
The normalized parameter of the influence factor of generating website is rushed to repair, wherein, m is the natural number more than 1.
Wherein, the n influence factor includes:Can quantization factor and can not quantization factor;Dispatching device point
It is other to each generating website in the m generating website can quantization factor and can not quantization factor carry out normalizing
Change is handled, and determines the normalized parameter of the influence factor of the n influence repairing generating website.
Specifically, dispatching device determines power failure website, the parameter of every influence factor in power failure website is entered
Row normalization is calculated, it is ensured that the validity of normalized weight.
Site parameter normalization principle can include:Because every influence factor usually there are different physics to anticipate
Adopted and different dimension, such as integrated service amount changes in the range of 0~1*104, and battery durable ability then exists
Change in the range of 0~10.Normalization makes all components change all between 0~1, by each site parameter
Normalization, so that every variable is at the very start with status of equal importance.
Can quantization factor method for normalizing include:Variate-value subtract minimum value and divided by span, normalization
Value is between 0 and 1.For example, integrated service amount, arrive at a station distance, battery durable ability etc..
Can not quantization factor method for normalizing include:It is 1 to meet influence factor, and dissatisfiers is 0.For example,
Whether important transmission node, if priority support base station etc., be to take 1, otherwise take 0.
Exemplary, to website integrated service amount, priority support base station, battery durable ability, important transmission
Node, repairing hinder, distance of arriving at a station and zoom out generating 7 influence factors calculating, such as following table is normalized
Shown in 5:
The normalization of the influence factor of table 5 is calculated
Step 104, dispatching device determine the m according to the normalized weight value and the normalized parameter
The repairing dispatching sequence of individual generating website.
Specifically, dispatching device is weighed on the normalization for rushing to repair described n influence the influence factor of generating website
Weight values and the normalized parameter are weighted summation, determine the repairing priority of the m generating website,
The repairing dispatching sequence of the m generating website is determined according to the repairing priority.
Dispatching device determines to stand according to the normalized parameter of each website and the normalized weight value of influence factor
The repairing dispatching sequence of point, i.e. repairing scheduling final scheme.
Specifically, dispatching device determines the normalized weight value of each influence factor according to analytic hierarchy process (AHP), pass through
Method for normalizing determines the normalized parameter of the influence factor of each website, is shown below, and passes through weighted sum
It can obtain final each website processing priority order.
Wherein, i is the number of website, and j is the number of influence factor, xijFor j-th of shadow of i-th of website
The normalized parameter of the factor of sound, wjFor the normalized weight value of j-th of influence factor, yiAdd for i-th of website
Weigh the score value of summation.
Above-mentioned system of linear equations can be solved with Excel, or above-mentioned matrix operation is solved with Matlab,
Operation result is each website score value, and the priority of the m website, score value are determined according to score value
Higher repairing priority is higher, it is thus possible to show that large-area power-cuts website robs logical tune by Sort Priority
Degree scheme.
Dispatching method provided in an embodiment of the present invention, computing is modeled using " analytic hierarchy process (AHP) ", complexity
Power generation dispatching PROBLEM DECOMPOSITION be each composition influence factor, by each influence factor qualitative index mould
Paste quantifies to determine the normalized weight value of each influence factor, so that qualitative question is combined with quantitative problem,
Modeling Calculation is quantified by the normalized weight value of influence factor and the normalized parameter of website, power station is determined
The dispatching sequence of point, so as to improve power generation dispatching efficiency.
Embodiment two
The embodiment of the present invention provides a kind of dispatching device 1, as shown in figure 3, described device 1 includes:It is determined that
Unit 10, processing unit 11, wherein,
The determining unit 10, for according to preset algorithm determine n influence rush to repair generating website influence because
Element, wherein, n is the natural number less than or equal to 10;It is additionally operable to determine the n influence repairing generating website
Influence factor normalized weight value;It is additionally operable to determine each generating website in m generating website respectively
N influence repairing generating website influence factor normalized parameter, wherein, m is nature more than 1
Number;
The processing unit 11, described in being determined according to the normalized weight value and the normalized parameter
The repairing dispatching sequence of m generating website.
Further, the determining unit 10, the influence for rushing to repair generating website according to described n influence
Factor determines judgment matrix;It is additionally operable to determine the Maximum characteristic root and characteristic vector of the judgment matrix, it is described
The characteristic vector of judgment matrix is the normalized weight value of the influence factor of described n influence repairing generating website.
Further, the determining unit 10, for the Maximum characteristic root according to the judgment matrix and described
The exponent number of judgment matrix determines coincident indicator, determines that mean random is consistent according to the exponent number of the judgment matrix
Property index;It is additionally operable to determine the coincident indicator and the Aver-age Random Consistency Index of the judgment matrix
Ratio;It is additionally operable to, when the ratio is less than 0.1, determine the uniformity of the judgment matrix to receive;Also
For when the ratio is more than or equal to 0.1, the influence factor of generating website to be rushed to repair according to described n influence
Redefine judgment matrix, verification be normalized to the judgment matrix that redefines, until it is described again
The uniformity of judgment matrix is determined to receive.
Further, the n influence factor includes:Can quantization factor and can not quantization factor;
The determining unit 10, for that can quantify to each generating website in the m generating website respectively
Factor and can not quantization factor be normalized, determine it is described n influence rush to repair generating website influence
The normalized parameter of factor.
Further, the processing unit 11, on described n influence rush to repair generating website influence because
The normalized weight value and the normalized parameter of element are weighted summation, determine the m generating website
Priority is rushed to repair, the repairing dispatching sequence of the m generating website is determined according to the repairing priority.
Specifically, the understanding of dispatching device provided in an embodiment of the present invention may be referred to the dispatching party of embodiment one
The explanation of method, the embodiment of the present invention will not be repeated here.
Dispatching device provided in an embodiment of the present invention, computing is modeled using " analytic hierarchy process (AHP) ", complexity
Power generation dispatching PROBLEM DECOMPOSITION be each composition influence factor, by each influence factor qualitative index mould
Paste quantifies to determine the normalized weight value of each influence factor, so that qualitative question is combined with quantitative problem,
Modeling Calculation is quantified by the normalized weight value of influence factor and the normalized parameter of website, power station is determined
The dispatching sequence of point, so as to improve power generation dispatching efficiency.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or meter
Calculation machine program product.Therefore, the present invention can using hardware embodiment, software implementation or combine software and
The form of the embodiment of hardware aspect.Moreover, the present invention can be used wherein includes calculating one or more
The computer-usable storage medium of machine usable program code (includes but is not limited to magnetic disk storage and optical storage
Device etc.) on the form of computer program product implemented.
The present invention is with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Flow chart and/or block diagram describe.It should be understood that can be by computer program instructions implementation process figure and/or side
Each flow and/or square frame in block diagram and flow and/or the knot of square frame in flow chart and/or block diagram
Close.Can provide these computer program instructions to all-purpose computer, special-purpose computer, Embedded Processor or
The processor of other programmable data processing devices is to produce a machine so that by computer or other can
The instruction of the computing device of programming data processing equipment is produced for realizing in one flow or multiple of flow chart
The device for the function of being specified in one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices
In the computer-readable memory worked in a specific way so that be stored in the computer-readable memory
Instruction, which is produced, includes the manufacture of command device, and the command device is realized in one flow of flow chart or multiple streams
The function of being specified in one square frame of journey and/or block diagram or multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices, made
Obtain and series of operation steps performed on computer or other programmable devices to produce computer implemented processing,
So as to which the instruction performed on computer or other programmable devices is provided for realizing in one flow of flow chart
Or specified in one square frame of multiple flows and/or block diagram or multiple square frames function the step of.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the protection model of the present invention
Enclose.
Claims (10)
1. a kind of dispatching method, it is characterised in that methods described includes:
According to preset algorithm determine n influence repairing generating website influence factor, wherein, n be less than etc.
In 10 natural number;
Determine the normalized weight value of the influence factor of the n influence repairing generating website;
The influence of n influence repairing generating website of each generating website in m generating website is determined respectively
The normalized parameter of factor, wherein, m is the natural number more than 1;
Determine that the robbing for m generating website trims according to the normalized weight value and the normalized parameter
Degree order.
2. according to the method described in claim 1, it is characterised in that described to determine the n influence repairing
The normalized weight value of the influence factor of generating website, including:
Judgment matrix is determined according to the influence factor that generating website is rushed to repair in described n influence;
The Maximum characteristic root and characteristic vector of the judgment matrix are determined, the characteristic vector of the judgment matrix is
The normalized weight value of the influence factor of the n influence repairing generating website.
3. method according to claim 2, it is characterised in that in the determination judgment matrix
Maximum characteristic root and characteristic vector, the characteristic vector of the judgment matrix is described n influence repairing power station
After the normalized weight value of the influence factor of point, in addition to:
Coincident indicator is determined according to the exponent number of the Maximum characteristic root of the judgment matrix and the judgment matrix,
Aver-age Random Consistency Index is determined according to the exponent number of the judgment matrix;
Determine the coincident indicator of the judgment matrix and the ratio of the Aver-age Random Consistency Index;
When the ratio is less than 0.1, determine the uniformity of the judgment matrix to receive;
When the ratio is more than or equal to 0.1, the influence factor of generating website is rushed to repair according to described n influence
Redefine judgment matrix, verification be normalized to the judgment matrix that redefines, until it is described again
The uniformity of judgment matrix is determined to receive.
4. according to the method described in claim 1, it is characterised in that the n influence factor includes:Can
Quantization factor and can not quantization factor;
The n influence repairing generating website for determining each generating website in m generating website respectively
The normalized parameter of influence factor, including:
Respectively to each generating website in the m generating website can quantization factor and can not quantization factor enter
Row normalized, determines the normalized parameter of the influence factor of the n influence repairing generating website.
5. according to the method described in claim 1, it is characterised in that described according to the normalized weight value
The repairing dispatching sequence of the m generating website is determined with the normalized parameter, including:
On the normalized weight value and normalization ginseng of the influence factor of described n influence repairing generating website
Number is weighted summation, the repairing priority of the m generating website is determined, according to the repairing priority
Determine the repairing dispatching sequence of the m generating website.
6. a kind of dispatching device, it is characterised in that described device includes:Determining unit, processing unit, its
In,
The determining unit, for determining that the influence factor of generating website is rushed to repair in n influence according to preset algorithm,
Wherein, n is the natural number less than or equal to 10;It is additionally operable to determine the shadow of the n influence repairing generating website
The normalized weight value of the factor of sound;It is additionally operable to determine the n of each generating website in m generating website respectively
The normalized parameter of the influence factor of individual influence repairing generating website, wherein, m is the natural number more than 1;
The processing unit, for determining the m according to the normalized weight value and the normalized parameter
The repairing dispatching sequence of individual generating website.
7. device according to claim 6, it is characterised in that the determining unit, for according to institute
The influence factor for stating n influence repairing generating website determines judgment matrix;It is additionally operable to determine the judgment matrix
Maximum characteristic root and characteristic vector, the characteristic vector of the judgment matrix is described n influence repairing generating
The normalized weight value of the influence factor of website.
8. device according to claim 7, it is characterised in that the determining unit, for according to institute
The exponent number of the Maximum characteristic root and the judgment matrix of stating judgment matrix determines coincident indicator, is sentenced according to described
Disconnected order of matrix number determines Aver-age Random Consistency Index;It is additionally operable to determine that the uniformity of the judgment matrix refers to
The ratio of mark and the Aver-age Random Consistency Index;It is additionally operable to, when the ratio is less than 0.1, determine institute
The uniformity of judgment matrix is stated to receive;It is additionally operable to when the ratio is more than or equal to 0.1, according to the n
The influence factor of individual influence repairing generating website redefines judgment matrix, and judgment matrix is redefined to described
Verification is normalized, until the uniformity for redefining judgment matrix is receiving.
9. device according to claim 6, it is characterised in that the n influence factor includes:Can
Quantization factor and can not quantization factor;
The determining unit, for each generating website in the m generating website can be quantified respectively because
Element and can not quantization factor be normalized, determine it is described n influence rush to repair generating website influence because
The normalized parameter of element.
10. device according to claim 6, it is characterised in that the processing unit, for institute
The normalized weight value and the normalized parameter for stating the influence factor of n influence repairing generating website are added
Power summation, determines the repairing priority of the m generating website, according to being determined the repairing priority
The repairing dispatching sequence of m generating website.
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CN107944758A (en) * | 2017-12-15 | 2018-04-20 | 武汉虹信技术服务有限责任公司 | A kind of intelligence alert processing method and system |
CN109473969A (en) * | 2017-12-28 | 2019-03-15 | 国网浙江省电力公司嘉兴供电公司 | A kind of planning of guarantor electricity and equipment fault method for removing |
CN109978314A (en) * | 2017-12-28 | 2019-07-05 | 国网浙江省电力公司嘉兴供电公司 | A kind of planning of guarantor electricity and equipment fault method for removing |
CN110458454A (en) * | 2019-08-12 | 2019-11-15 | 广东电网有限责任公司 | A kind of large-area power-cuts emergency robs circulation method, device and equipment |
CN112612591A (en) * | 2020-12-28 | 2021-04-06 | 中国农业银行股份有限公司 | Method and device for determining operation priority of data warehouse and related equipment |
CN113077161A (en) * | 2021-04-14 | 2021-07-06 | 华北电力大学 | Emergency repair decision method for emergency robot in power distribution room |
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CN113077161A (en) * | 2021-04-14 | 2021-07-06 | 华北电力大学 | Emergency repair decision method for emergency robot in power distribution room |
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